Open AccessBacklit images enhancement using global tone mappings and image fusion
Author(s) -
Buades Antoni,
Lisani JoseLuis,
Petro Ana Belen,
Sbert Catalina
Publication year - 2020
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2019.0814
Subject(s) - backlight , computer vision , artificial intelligence , computer science , tone (literature) , image (mathematics) , image fusion , photography , fusion , tone mapping , function (biology) , liquid crystal display , high dynamic range , art , dynamic range , linguistics , philosophy , literature , operating system , visual arts , evolutionary biology , biology
The authors present a method for the enhancement of backlit images, i.e. images in which the main source of light is behind the photography subject. These images contain, simultaneously, very dark and very bright regions. In this situation, a single tone mapping function is unable to enhance the whole image. They propose the use of several such tone mappings, some of them enhancing the dark regions while others enhancing the bright regions, and then the combination of all these results using an image fusion algorithm. Qualitative and quantitative results confirm the validity of the proposed method.